Ou, Fang‐Shu

3554 Background: There is considerable variability in the outcomes between second line (SL) trials in mCRC. The aim of this analysis is to compare the outcomes of patients (pts) with mCRC treated either on SAFL, with protocol defined SL treatment, or DSLT. Methods: Individual pt data was available on pts with mCRC enrolled in 1 of 10 trials (7 DSLT, 3 SAFL) in the ARCAD database. Regimens included FOLFIRI, FOLFOX, and irinotecan (IRI), since pts did not receive biologic agents in SL on SAFL. For pts on a SAFL, PFS and OS were defined as time from initiation of SL treatment to second progression (SP)/death and death, respectively. Descriptive statistics and multivariable Cox models were used to assess differences in PFS and OS. Results: 5,076 pts were included; 63% were male; median age was 62. See Table for treatment details. Pts treated on SAFL had shorter OS (0.7-1.5 months (mos>) shorter) and PFS (0.6-2.6 mos shorter), compared to those treated on DSLT. These findings were statistically significant and differences in OS did not attenuate after adjustment for age, gender, and prior treatment. PFS differences in FOLFOX became insignificant after multivariable adjustment. Conclusions: There are modest differences in both PFS and OS between pts with mCRC treated on SAFL and those on DSLT, suggesting differences in these pt populations. Caution is needed when applying these data to pts, as we were unable to control for potential confounders (ECOG PS, number and sites of metastases) at initiation of SL in SAFL, which may impact outcomes. [Table: see text]

3535 Background: CRC is known to be a heterogeneous disease. This study quantifies within pt heterogeneity in early lesion change rate (LCR) in the era of targeted agents compared to chemo alone and its potential impact on survival. Methods: Pts with 2-10 lesions measured at baseline were included. For each lesion, the early LCR was defined as the change in size (shrinking or growing) from baseline to 12 weeks on treatment. Within pt heterogeneity in early LCR among lesions was estimated by standard deviation (STD). A larger value of STD indicates larger variation of LCR per pt. Stratified multivariate Cox models were used to assess the associations between LCR STD with overall survival (OS). Adjusted hazard ratios (HRadj) and 95% confidence intervals (CIs) are reported. Results: Data were available on 9,092 mCRC pts (median age 61; 60% male, 55% ECOG PS 0; 61% 2+ metastatic sites) enrolled in 16 1st-line randomized trials, with 44%, 42%, and 10% of pts received chemo alone, + a VEGF inhibitor (VEGFi) or an EGFR inhibitor (EGFRi), respectively. LCR heterogeneity is the highest among pts received EGFRi but lowest among pts received VEGFi (Table). Overall, higher heterogeneity is associated with worst OS (HRadj1.22, 95% CI (1.16, 1.27)). The effect is most pronounced in pts received VEGFi (interaction p=0.0012). Conclusions: There was heterogeneity observed in lesion size changes within pts. Its magnitude varies across treatment approaches, and was associated with poor survival. This preliminary result reveals the great potentials to define novel response endpoint and refine treatment decision-making by incorporating heterogeneities in lesion changes. [Table: see text]

3528 Background: CALGB 80405 is a phase III clinical trial of FOLFOX and FOLFIRI w/ randomly assigned cetuximab or bevacizumab. Novel machine learning approaches to the study dataset provide valuable insights into CRC prognosis and management of CRC progression. Methods: Using a Monte Carlo Bayesian Generalized Linear Model analytical platform, we built an ensemble of models for overall survival (OS). We used 99 baseline and demographic variables, including 1904 patients w/ 1o side and 949 w/ KRAS wild-type status. Building an ensemble of predictive models reduces risk of overfitting, estimates model uncertainty and identifies key variables by model consensus as measured by ensemble frequency (freq). We fit gender and 1o side (L vs R) stratum-specific models to examine differences in drivers of disease in those strata. Results: 1o side (avg Cox hazard ratio = 0.89, R side reference), ECOG performance status (1.30, reference level 0), AST concentration (1.01), peripheral neutrophil percentage (1.01) and local primary and abdominal site of disease indicators (1.22; 1.26) were key variables predictive of OS ( > 75% freq). In 1o side stratum-specific models, urine protein level (1.61), treatment intent (0.75, nonpalliative as reference) and hemoglobin concentration (0.85) were more associated w/ L side progression (freq > 85% in L stratum model, < 20% in R), while liver and lung sites of disease (2.3; 1.09) were more associated w/ R side progression (freq > 65% in R stratum model, < 20% in L). Predictors of 1o left-sidedness included age (avg log odds ratio = 0.02), hemoglobin (0.41), and abdominal (3.79) and liver (0.68) sites of disease. Modest differences in disease prognostic factors existed between genders: women more influenced by metastatic status, age, liver site of disease and creatinine level; men more influenced by urine protein level and prior diabetes. Conclusions: 1o side plays a central role in potentially explaining both variation in OS and differences in drivers of OS. Availability of these measures at baseline enables better sense of disease course at initiation of treatment. Support: U10CA180821, U10CA180882, Eli Lilly & Co., Genentech, Pfizer Clinical trial information: NCT00265850.

3511 Background: CALGB 80405 was a randomized Ph3 trial showing no OS or PFS difference in mCRC pts treated with Bevacizumab (BV) or Cetuximab (Cet) in the first line. A Nanostring platform was used to determine the CMS classification of 392 KRAS wt (codon 12 and 13) primary tumors and correlated it with OS and PFS in patients enrolled in 80405. Methods: CMS for 392 of 431tumors were defined using a custom CRC Nanostring panel (39 CMS classification not possible). Stratified Cox proportional hazard model was used to evaluate the effect of CMS classification stratified by prior radiation, prior chemotherapy, adjusting for age, sex, race, primary in place, liver met only, and sidedness. Results: We found CMS1 (14%), CMS2 (47%), CMS3 (2%), CMS4 (29%), NonConsensus (8%). Results are shown in Table 1. Patients with CMS1 who received BV had significantly longer OS than those who received Cet (HR 0.47, 95% CI [0.24, 0.92]). Patients with CMS2 who received BV tended to have shorter OS than those who received Cet (HR 1.41, CI [0.95, 2.08]). Conclusions: Our data suggest that CMS is associated with OS and PFS in first line therapy in mCRC patients. Preliminary data suggest that certain CMS may be associated with efficacy of Bev and Cet based chemotherapy. CMS classification should be explored as a stratification factor in future trials. Support: U10CA180821, U10CA180830, U10CA180882 Clinical trial information: NCT00265850. [Table: see text]

3504 Background: CALGB 80405 was a randomized phase III trial that found no difference in OS in first-line mCRC pts treated with either bevacizumab (Bev) or cetuximab (Cet). Primary tumor DNA from 361 pts, including KRAS mutant (mut) pts, has been profiled for somatic gene mutations/ML/MSI to discover molecular markers of OS. Methods: Mutations in 11 genes were determined by PCR, MSI by microsatellite analysis, and ML by next-generation sequencing (FoundationOne). Cox proportional hazard models are used, stratified by prior XRT and +/- adjuvant chemotherapy; adjusted by age, race, gender, synchronous vs. metachronous, liver metastases, sidedness, all RAS. Results: BRAF: Mut pts had shorter OS than wild-type (wt) pts (HR 1.92, 95% CI 1.34,2.75; p<0.001); HR 1.65 (1.09,2.50) after adjusting for sidedness (p 0.022). In mut pts longer OS is observed in Bev arm vs. Cet arm (p 0.041); in wt pts no arm difference is observed (p 0.291, table). MSI: OS does not differ between MSI-H and MSI-S pts (HR 0.78 [0.40, 1.52], p 0.450). In MSI-H pts longer OS is observed in Bev arm vs. Cet arm (p 0.002); in MSI-S pts no difference is observed (p 0.305, table). ML: Hypermutated MSI-H pts are excluded. In a subset of 205 pts, pts with ML>5 (N=93) have longer OS than pts with ML≤5 (N=112) (HR 0.65 [0.42,1.00], p 0.048). In Bev arm higher ML confers longer OS than lower ML (HR 0.85 [0.80,0.96], p 0.004); in Cet arm no difference is observed (HR 0.99 [0.90,1.09], p 0.862). Conclusions: BRAF is a strong negative prognostic factor in mCRC, even when sidedness is taken into account. ML is a novel marker for further evaluation. The effect of Bev and Cet in either BRAF mut or MSI-H pts should be tested in larger datasets. Updated results from more screened samples will be presented. [Table: see text]

3503 Background: 80405 found no OS or Progression Free Survival (PFS) difference when bevacizumab (BV) or cetuximab (Cet) was added to 1st-line FOLFOX or FOLFIRI in All RAS wild type (wt) mCRC pts. There was a significant 1° side by biologic interaction (P int: OS = 0.008, PFS = 0.001) favoring pts with left-sided (L) 1°. Analyses of 1° tumors beyond All RAS includes Consensus Molecular Subtype (CMS), BRAF and MSI. (CMS results - see Lenz et al; BRAF -see Innocenti et al) We asked whether 1° tumor location - L vs right (R) - is an independent prognostic marker when these other molecular features are considered. Methods: We used a Cox proportional hazard model stratified by prior XRT and +/- adjuvant chemo; adjusted for age, gender, synchronous vs metachronous, CMS, MSI and BRAF status. Pts with transverse (T) tumors were excluded in this analysis. Results: Sidedness was determined in 782 pts (L - 472; R - 256; T -54). Molecular data from 728 pts (with L - and R-sided 1°s) was available as follows: KRAS -- 291, NRAS -393, BRAF - 393, MSI - 378, CMS - 533. L vs R mOS: 32.9 v 19.6 months (mo) (p < 0.0001). See Table for OS results in All RAS / BRAF wt and BRAF mutant (mut) pts. Sidedness (R vs L) is an independent prognostic marker even after adjusting for all these molecular features: HR = 1.392 (1.032, 1.878), p = 0.031. Conclusions: Primary tumor location is an independent prognostic factor when adjusted for age, gender, synchronous/metachronous, CMS, MSI and BRAF status. We are exploring clinical variables such as tumor burden, metastatic sites and measurability of disease in an attempt to explain the impact of sidedness. Support: U10CA188021, U10CA180882. Eli Lilly and Co, Genentech/Roche, Pfizer, Sanofi. Clinical trial information: NCT002655850. [Table: see text]

e13073 Background: We observed several patients with a personal history of both RCC and myeloid malignancy, and aimed to explore a possible association, especially given the similarity in their epigenetic landscape, with both being characterized by widespread aberrant hypermethylation (Hu C et al, CCR 2014; Jiang Y et al, Blood 2009). Methods: Mayo Clinic’s ‘Advanced Cohort Explorer’ database was used to identify patients with a history of both RCC and a myeloid malignancy - Acute Myelogenous Leukemia (AML), Myeloproliferative Neoplasms (MPN), Myelodysplastic syndromes (MDS) - and to determine the clinical characteristics. The incidence of MDS in patients ≥65 years with a history of RCC was compared to that in the general population ≥65 years (SEER- Medicare database) as well as the general patient population at Mayo Clinic, using one sample test of proportions. Results: A total of 59 patients were identified, with both biopsy proven RCC and a myeloid malignancy during their life time (12 AML, 9 MPN, 9 low risk MDS and 29 intermediate- high risk MDS). The cohort was characterized by marked male predominance (4.4: 1). Median age at RCC diagnosis was 64 years (range 37-87) and myeloid malignancy was 75 years (range 44-90). 46/59 patients had the RCC antecedent, 10/59 concurrent and 3/59 subsequent to the myeloid malignancy with a median time of myeloid malignancy diagnosis after RCC diagnosis of 7.7 years. For patients ≥65 years, the risk of developing MDS with a history of stage I/II RCC and nephrectomy was 5.26 times that of the general population based on the SEER-Medicare database (Cogle, Blood 2011)(395/100,000 vs 75/100,000; p value < 0.001), and 3.07 times that of the general population at Mayo Clinic (395/100,000 vs 128.4/100,000; p value < 0. 001). Conclusions: We observed an association between RCC and myeloid malignancies, particularly MDS; with a history of RCC conferring a substantially increased risk of developing MDS. We hypothesize that the perturbation of epigenetic landscape in the form of widespread hypermethylation may explain, in part, the association between the two malignancies; and aim to explore the potential aberrancy of epigenetic regulators in our patient cohort with a genomic, epigenomic and transcriptomic analysis.